Market efficiency, market anomalies, causes, evidences, and some behavioral aspects of market anomalies

Research Journal of Finance and Accounting www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 9/10, 2011

Market Efficiency, Market Anomalies, Causes, Evidences,
and Some Behavioral Aspects of Market Anomalies
Madiha Latif* Shanza Arshad, Mariam Fatima, Samia Farooq
Institute of Management Sciences Bahauddin Zakaria University, Multan, Pakistan
Email: madihalmalik@yahoo.com

Abstract
Market efficiency hypothesis suggests that markets are rational and their prices fully reflect all available
information. Due to the timely actions of investors prices of stocks quickly adjust to the new information,
and reflect all the available information. So no investor can beat the market by generating abnormal returns.
But it is found in many stock exchanges of the world that these markets are not following the rules of EMH.
The functioning of these stock markets deviate from the rules of EMH. These deviations are called
anomalies. Anomalies could occur once and disappear, or could occur repeatedly. This literature survey is
of its own type that discusses the occurrence of different type of calendar anomalies, technical anomalies
and fundamental anomalies with their evidences in different stock markets around the world. The paper also
discusses the opinion of different researchers about the possible causes of anomalies, how anomalies should
be dealt, and what ere the behavioral aspects of anomalies. This issue is still a grey area for research.
Key Words: EMH, CAPM, Calender Anomalies, Technical Anomalies, Fundamental Anomalies.
1. Introduction:
According to efficient market hypothesis markets are rational and prices of stocks fully reflect all available
information. The securities prices quickly adjust to new information as readily that information is available.
But according to behavioral finance this kind of efficient market cannot explain the observed anomalies in
Market anomalies are the unusual occurrence or abnormality in smooth pattern of stock market. Different
researchers like Agrawal & Tendon (1994), Gultekin & Gultekin (1983), and Ariel (1984) exhibited the
existence of observed anomalies with their evidences in different stock exchanges of world. But yet the
evidences on anomalies are debatable. This review paper explains the market anomalies in both aspects:
with respect to market efficiencies and as well as behavioral aspect. The 2nd section of paper will explain
market efficiency, forms of market efficiency, fundamental and technical analysis. 3rd section defines
market anomalies with three major types of anomalies. For the sake of convenience we divide the
anomalies into three types i.e. Fundamental anomalies, technical anomalies and calendar anomilies.Section
4th will explain existence, evidences and possible causes of all of these types of anomalies. .While section
5th includes possible explanation of anomalies with the help of different models of finance. And the final
section concludes the whole discussion.
2. Efficient Market Hypothesis
Efficient market hypothesis is one of the important paradigms of traditional finance theories. Fama (1970)
defined efficient market as a market as a market with large numbers of rational profit maximizing
individuals actively competing with each other and doing attempts to predict future market values of
individual securities, and where all important relevant information is almost freely available to all investors.

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Fig.1Market reaction to surprising favorable event. Fig.2 Market reaction to predictable favorable event
The Above figures shows the situation of market, in case of unpredictable event, if the market is efficient,
stock prices immediately reflect effect of new event, but it will take some time for the prices to adjust new
information, if the market is not efficient. While in the case of predictable event, before the happening of
event, prices of stocks will rise, and quickly adjust at the event date, if the market is efficient. (Chuvakhin,
2009)
2.1. Forms of market Efficiency
Relevant information includes past information, publicly available information and private information.
On the basis of relevant information efficient market is divided into three stages, weak form, semi strong
form and strong form. In weak form of EMH, all the past information including past prices and returns is
already reflected in the current prices of stocks (Bodie et al. 2007).The assumption of weak form is
consistent with random walk hypothesis i.e. stock prices move randomly, and price changes are
independent of each other. So if the weak form holds, no one can predict the future on the basis of past
information. And no one can beat the market by earning abnormal returns. Therefore, the technical (trend)
analysis, in which analysts make the chart of past price movements of stocks to accurately predict future
price changes, is of no use (Bodie et al. 2007). However, one can beat the market and get abnormal
returns on the basis of fundamental analysis or on the basis of private information (insider trading).

In the semi strong form, current stock prices reflect all publicly available information as well as past
information. So no one can make extra profit on the basis of fundamental analysis (Bodie et al. 2007).
However, one can beat the market by insider trading. In the strong form of market efficiency, all relevant
information including past, public and private information is reflected in the current stock prices. So if the
strong form persists, then no one can beat the market in any way, not even by insider trading (Brealey et al.
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1999).
3. Financial Market Anomalies.
Literary meaning of an anomaly is a strange or unusual occurrence. The word anomaly refers to scientific
and technological matters. It has been defined by George & Elton (2001) as irregularity or a deviation from
common or natural order or an exceptional condition. Anomaly is a term that is generic in nature and it
applies to any fundamental novelty of fact, new and unexpected phenomenon or a surprise with regard to
any theory, model or hypothesis (George & Elton 2001).
Anomalies are the indicator of inefficient markets, some anomalies happen only once and vanish, while
others happen frequently, or continuously (Tversky & Kahneman 1986) defined market anomalies as “an
anomaly is a deviation from the presently accepted paradigms that is too widespread to be ignored, too
systematic to be dismissed as random error, and too fundamental to be accommodated by relaxing the
normative system”.
While in standard finance theory, financial market anomaly means a situation in which a performance of
stock or a group of stocks deviate from the assumptions of efficient market hypotheses. Such movements or
events which cannot be explained by using efficient market hypothesis are called financial market
anomalies (Silver 2011).For the sake of convenience, Anomalies can be divided into three basic
types.,1.Fundamental anomalies2.Technical anomalies .3.Calendar or seasonal anomalies.
3.1. Calendar Anomalies.
Calendar anomalies are related with particular time period i.e. movement in stock prices from day to day,
month to month, year to year etc .these include weekend effect, turn of the month effect, year-end effect etc
(Karz 2011).
Calendar anomalies Description Study conducted and article

Weekend Effect: The stock prices are likely to fall Smirlock & Starks (1986)
on Monday. Means the closing
price of Monday is less than the
closing price of previous Friday.
Turn-of-the-Month Effect: • The prices of stocks are Nosheen et al. (2007)
likely to increase in the Agrawal & Tandon (1994)
last trading day of the
following month, and the
first three days of next
month.
Turn-of-the-Year Effect • This anomaly describes Agrawal & Tandon (1994)
the increase in the prices
of stocks and trading
volume of stock
exchange in the last
week of December and
the first half month of
January.
January Effect: The phenomenon of
small-company stocks to generate Keims (1983)
more return than other asset
classes and market in the first two Chatterjee & Manaiam (1997)

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to three weeks of January is called
January effect.

Fundamental anomaly Description Author

Value anomaly occurs due to false
prediction of investors. They Graham & Dodd (1934)
overly estimate the future
earnings and returns of growth
Value anomaly companies and underestimate
the future returns and earnings
of value companies

Low Price to Book The stocks with low price to book Fama (1991)
ratio generate more return than
the stocks having high book to
market ratio.
High Dividend Yield Stocks with high dividend yield Fama & French (1988)
outperform the market and
generate more return. If the yield
is high, then the stock generates
more return.
Low Price to Earnings (P/E) The stocks with low price to Goodman & Peavy (1983)
earnings ratio are likely generate
more returns and outperform the
market, while the stocks with
high price to earnings ratios
tend to underperform than the
index.
Neglected Stocks The prior neglected stocks De bondt & thaler (1985)
generate more return
subsequently over a period of
time. While the prior best
performers consequently
underperform than the index.

3.2. Fundamental Anomalies:-
Fundamental anomalies include Value anomalies and small cap effect, Low Price to Book,high dividend
yield, Low Price to Sales (P/S),Low Price to Earnings (P/E) (Karz 2011).
3.3. Technical Anomalies
"Technical Analysis" includes no. of analyzing techniques use to forecast future prices of stocks on the
basis of past prices and relevant past information. Commonly technical analysis use techniques including
strategies like resistance support, as well as moving averages. Many researchers like Bodie et al. (2007)
have found that when the market holds weak form efficiency, then prices already reflected the past
information and technical analysis is of no use. So the investor cannot beat the market by earning abnormal
returns on the basis of technical analysis and past information. But here are some anomalies that deviate
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from the findings of these studies.

Technical Description Article
anomaly

Moving An important technique of technical analysis in which buying and Brock(1992)
Averages selling signals of stocks are generated by long period averages and Josef (1992)
short period averages. In this strategy buying stocks when short
period averages raises over long period averages and selling the Lakonishok etal.
stocks when short period averages falls below the long period (1992)
averages.

Trading This technique of technical analysis is based upon resistance and Brock(1992)
Range Break support level. A buy signal is created when the prices reaches at Josef (1992)
resistance level, which is local maximum. As investor wants to sell
at peak, this selling pressure causes the resistance level to breakout Lakonishok et al.
than previous level. This breaks out causes a buy signal. A selling (1992)
signal is created when prices reaches the support level which is
minimum price level. Thus technical analysis recommends buying
when the prices raises above last peak and selling when prices falls
below last trough. But this strategy is difficult to implement.
4. Evidences of different types of anomalies.
4.1calender anomalies
Calendar and time anomalies contradict the weak form efficiency because weak form efficiency postulates
that markets are efficient in past prices and cannot predict future on theses bases. But existence of
seasonality and monthly effects contradict market efficiency and in this case investors can earn abnormal
return (Boudreaux 1995). Agrawal & Tandon (1994) examine the presence of calendar anomalies in
eighteen countries and compared it with the USA.The Calendar anomalies that they considered in their
studies are weekend effect, turn-of-the-month effect, the Friday-the thirteen effect, January effect and
end-of-December effect
Seasonal effect
Seasonal influence is found in international markets, in Australian market (Officer ,1975) in Italian Tokyo
stock exchange (Ziemba 1991). According to Yakob et al. (2005) there were seasonality effects in ten Asian
pacific countries for period of January 2000 to march 2005.They founded that this period was ideal period
for examine this effect because of stability and is not influenced by financial crisis of late nineties. Doren et
al. (2008) found high volatility in Chinese stock market and that Chinese stocks outperform during the
season of new year but not in January.
Monday effect
Many evidences are present that ensure the presence of weekend effect in United States. Mondays average
returns are found to be negative (Starks 1986).
Days-of-week effect
This effect entails the difference in return of days in week. The findings have been lowest returns on
Monday and exceptionally high return on Friday than other days of week (Hess 1981) .Largest variance on
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Monday and lowest is on Friday. There is mixed findings on it. Dubois & louvet (1995) found that in
European countries, Hong Kong and Canada lower return for beginning of week but not necessarily on
Monday. Agrawal & Tendon (1994) found that out of 19 countries there are negative Monday returns in
nine countries and negative Tuesday return in eight countries. Also the Tuesday returns are lower than
Monday returns in those countries. Negative Monday and positive Friday effects are not observed in Indian
market (kumari).It was founded that Tuesday returns are negative in Indian markets, while the Monday
returns were significantly greater than other days. It was because of settlement period in India i.e. 14 days
period that starts on Monday and ends at Friday. Agrawal & Tendon (1994) concluded in the findings that
weekend effect is present in the half of the countries. While in the other countries the lowest return are on
the Tuesday.
Cause:
Trading timing-On study on weekend effects shows that negative return on Monday is due to non-trading
period from Friday to Monday and that Monday returns are actually positive (Rogalski 1984).
Month of the year effect –January effect
This effect reflect variation in return of different months in a year (Gultekin & Gultekin 1983).This January
effect is related to the size of firms small capitalization firms outperform than large capitalization.
Causes: January returns are greatest due to yearend tax loss selling of shares disproportionally (Branch
1977).
Ligon (1997) found that January effect is due to large liquidity in this month. There are higher January
volume and lower interest rates correlates with greater returns in January.
According to watchel (1942) there are higher returns on Monday than other months in year. Rozeff &
Kinney (1976) found that in New York exchange average return is 3.5% than other months 0.5% in period
1904 to 1974.The general argument is that January effect is due to tax-loss hypothesis investors sell in
December and buy back in January. Keong (2010) concluded that most of the Asian markets exhibit
positive December expect Hong Kong, Japan, Korea and china. Few countries also exhibit positive January,
April and may effect and only Indonesia exhibit negative august effect. January effect is due to tax loss
saving at the end of the tax year, portfolio rebalancing and inventory adjustment of different traders and the
role of exchange specialist (Agrawal & Tandon 1994).
Year end effect
According to Agrawal & Tandon (1994) the possible reason of the year end effect is attributed to
window-dressing and inventory adjustment by institutions and pension fund managers.
Intra –monthly anomaly
Ariel (2002) observed monthly return in United States stock index return. It was found that stocks earn
positive average return in beginning and first half of month and zero average return in second half of month.
Weak monthly effects have been observed in foreign countries (Jaffe & Westerfield 1989). Australia, United
Kingdom and Canada showed same pattern as Ariels found in United States while Japan had opposite effect.
Australia and Canada had positive monthly effects while Japan market had negative monthly effects
(Boudreau, 1995). Boudreau (1995) extended Jaffe & Westerfield (1989) results and observed monthly
effects in Denmark, France, Germany , Norway, Switzerland and negative effect is founded in Asian
pacific basin market of Singapore/Malaysia. According to Hensel (2011) cause of occurrence of higher
short-term equity return anomalies i.e.Cash flow increased just after and before specific period causes
anomalous return,Behavioral constraints as investors feeling and emotions that leads towards sale and
purchase of specific equities,Timing constraints like delay in unfavorable reporting,and Slow react of
market towards new information
Turn of the month effect
According to this calendar anomaly the mean returns in early days of the month are higher than other days
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of the month (Nosheen et al. 2007). Cadsby & Ratner (1992) studied turn of the month effect for USA,
Canada, Switzerland, Germany, UK and Australia while no such effect they found in Japan, Hong Kong,
Italy and France.Nosheen et al. (2007) reported Turn of the month effect in KSE of Pakistan and stated that
turn of the month effect and time of the month effect is almost same. While turn-of- the- month effect
which is the large returns on the last trading day of the month is found in fourteen countries (Agrawal &
Tandon 1994).
Causes. Nosheen et al. (2007 ) the reason behind the turn of the month effect is due to the mental behaviour
of the investors that they sell their shares at the end of the month and expect the positive change for the next
month and release of new information at the end and start of the new month. Investors in this way get
maximum benefit by selling at the end of the month and repurchasing at the start of the new month so that
these incorporate new information (Nosheen et al. 2007).
4.2. Fundamental anomalies with their evidences:-
Value versus growth anomaly
According to Graham & Dodd (1934) value strategies outperform the market. In value strategies the stocks
that have low price relative to earning, dividend, historical prices are buy out. The value stocks perform
well with respect to growth stocks because of actual growth rate or sales of growth stocks are much lower
than value stocks. But market overestimate the future growth of growth stocks (Lakonishok 2002;
Shleifer et al. 1993).Individual investors overestimate because of two reasons. Firstly they make judgment
errors and secondly they mainly focus upon past performance or growth although that growth rate is
unlikely to persistent in future. But institutional investors are free from judgmental error but they prefer
growth stocks because sponsor prefer these companies who outperformed in past (Lakonishok 2002;
Shleifer et al. 1992).Another factor that why money managers prefer growth stock over value stocks
because of time horizon individuals prefer stocks that earn abnormal return within few months rather than
to wait for a month (Shleifer et al. 1993)
Some researchers are of the point of view that superior performance of value stocks are due to its riskiness.
But according to Lakonishok (2002) value stocks are not more risky than growth stock based on indicators
like beta and return volatility. According to them growth stocks are more affected in down market than
value stocks.
Price to earnings ratio anomaly
It refer to that stocks with low P/E ratio earn large risk adjusted return than high P/E ratio because the
companies with low price to earnings are mostly undervalued because investors become pessimistic about
their returns after a bad series of earning or bad news. A company with high price to earning tends to
overvalued (De bondt & thaler 1985).
Dividend yield anomaly:-
Numerous studies have supported this idea that high dividend yield stock outperforms the market than the
low dividend yield stocks. According to Yao et al (2006) stocks with high dividend yield and low payout
ratio outperform than the stocks with low dividend yield.
Overreaction anomaly:
Loser stocks overreact to market than winner stock because overreaction effect is much large for loser than
winner stocks (De bondt & thaler, 1985).
Ex-dividend date anomaly:
According to Sabet et al Ex-dividend anomaly is characterized by abnormal return on that date. They
found evidence that there is negative and non-significant return on ex-dividend date and there is positive
and significant return on day before the dividend day payment.
Low price to sale

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Stocks with low price to sales ratio tends to outperform than market averages. Companies may face the
earning difficulties eventually the prices decline. A decline in sales is more serious than decline in earning.
If sales holds up management can recover the earning difficulties, causes a rise in stock price and if sales
decline than the stock price will be affected (Web page Market Anomaly)

4.3. Evidence on Technical anomaly
Momentum Effect.
Hons & Tonks (2001) investigated the trading strategies such as momentum effect in the Us stock market
and found that these momentum strategies are present in the stock market in the period of
1977-1996.According to their study investors can gain the advantage by using the momentum strategies .It
is the positive autocorrelation in returns for a short period of time and by buying past winners and selling
past losers they can gain the abnormal profits (Hons & Tonks 2001). Portfolio is formed by arranging the
stocks returns in and ranking them. The top ranked stocks are labeled as losers’ portfolio and the bottom are
labeled as winners’ portfolio. But these strategies generate profits only when asset prices exhibit
over-recation.Their studies shows that returns on winners’ portfolio are greater than returns on loser’s
portfolio because the winner’s portfolio are more riskier than the loser portfolio.
5.Opinions of different researchers about the possible causes of occurrence of anomalies
In 1970 the returns were being measured in case if the market is efficient by the joint test of the EMH and
CAPM and the results were that there is a fair chances to earn the abnormal returns by using the trading
techniques and in 1978 these were named as the anomalies by the journal of financial economics. In start
the existence of the anomalies were being denied and wasn’t treat as the counter rather being perceived as
the unexpected phenomenon, a surprise and as an anomaly without the full explanation of the term (Kuhn
1977). They don’t have any difference between the counter evidence and the anomaly rather for them; the
anomaly is nothing more than an counterevidence with the dishonest euphemism (Lakatos 1970).
With the passage of time different researchers developed different opinions about the possible causes of the
occurrence of the anomalies.
Kuhn (1977) says that the anomalies occur for some specific group with which everything was going right
and now they have to face the crisis during their experiments consistently going wrong. Anomalies could be
due to the fact that the social sciences fail to incorporate the qualitative aspect of the phenomenon in
combination to the quantitative aspect (Frankfurter & McGoun 2001). This fact is being also explained by
the Kuhn (1970), the qualitative aspect of the phenomenon is basically the cause of the anomaly which
needs to be incorporated in the theory.
While Gentry (1975) says that the difference between the market data and the assumption on which the
theories are made is the anomaly. In short, according to Gentry (1975) the difference of actual and the
expected results of the market line theory is the anomaly. But Jensen (1978) sees the anomalies as our
limited scope and exposure to the data and as the outcome of the new data and refined data become
available to us, we become finding the inconsistencies in the cruder data and the unrefined techniques we
have been using in the past and when the anomalies would be studied in detail they would help to better
understand the market efficiency. Next Watt (1978), states that the abnormal returns are due to the
inefficiencies in the financial markets, not due to the deficiencies in the asset pricing model.
Frankfurter & McGoun (2001) proved that the word anomaly in start was being used as the deviation from
the AMH/CAPM but lately named as the BF (Fama, 1998) and thus resulting in the rejection of the
EMH/CAPM. According to them anomaly has now taken the place as the synonym of the BF which is also
roughly being termed as the “literature of anomalies” (Fama 1998). Furthermore Frankfurter & McGoun
(2001) placed BF as the alternative approach to the EMH/CAPM.

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5.1.How the anomalies should be dealt:
The anomalies large enough to cause the hindrance in the normal research should be resolved and if its not
that larger, then it could be left (Ball 1978) and Kleidon (1987) says that there is the need of the change of
disciplinary foundation for the explanation of the anomalies.
Kuhn (1977) perceives anomalies as beneficial for the finance itself and says that though most of the times
the anomalies do not result in the discovery of something new but they do break the existing paradigm thus
causing in the emergence of the new theories.
Another important aspect discussed by the Kuhn (1970) is about the replacement of the paradigm. In
science you need to have another paradigm to replace the existing one and if you don’t have then rejecting
the existing paradigm is rejecting the science itself. There are hundreds of the anomalies existing but we
don’t regard them until we have a better one to replace EMH/CAPM (Lakatos 1970). In short we can code
the Fama (1998) argument that until and unless behavioral finance do not prove itself as a better theory
from the EMH/CAPM, the presence of anomalies can’t shake the pillar of efficient market hypothesis , no
matter how many of them are being discovered.
5.2.Behavioral explanation of anomalies:
Failure of different models based on rationale:
Different models are being given in different times but many of them fail to explain the causes of the
anomalous behavior of the assets. The three factor model of Fama & French (1993) give a model for the
analysis of the risk factors but Daniel & Titman (1997) criticized the three factor model that it has no
explanation for the long tem effect and the momentum returns for the assets. Next the non-linear model of
the Berk et al. (1996) has the explanation for the value premium, size-effect and the momentum effect but
failed in the reproducing of the contrarian and the momentum effect and according to Wrouter (2006) the
model was quite difficult in use for the empirical testing. And when we talk about the model of Zhang
(2000), according to Wrouter (2006), it totally failed to explain the anomalies.
Now consider the division of the investors by Boudoukh et al (1994). According to Boudoukh et al.(1994),
there are three schools of thought giving the possible explanation of the financial market anomalies:
revisionists, loyalists and the heretics.Revisionists thought that markets are efficient and studied the EMH
with the time varying economic risk premium. Second are the loyalists who also believe that the markets
are efficient and problems are due to the measurement errors in the data. But third school of thought is
completely having the different point of views and says that the market is not rational rather they make
decisions on the basis of some psychological factors.
Wouters (2006) further categorized them into two groups; loyalist and revisionists as the rationalists and
heretics as the behaviorists.Wouters (2006) further explains the rationalists as those who believes that the
financial markets are efficient and the abnormal returns are either by chance or due to the common risk
factors which are being ignored in the initial analysis of stock returns. Wouters (2006) further explains that
the behaviorists make their decisions on the basis of the sentiments. The behaviorists are of the view that
the all participants are not required to be the rationales rather a small number is being required which drive
the whole market. This results in the mispricing of securities and thus results in the market anomalies and
the cause is the sentiments of the investors.
Behavioral Cause of the overreaction and under reaction of the financial market:
According to Wouters (2006) the under and overreaction of the market are due to the psychological reasons
of the investors. Barberis & Sheilfer (1998) argues that the under reaction is the result of the conservatism
of the investor as the investors do react to the prior information but don’t with the same amount as being
required by the information to do and stick to the prior information expecting that the security would do the
same as it is being doing in the past. Their finding are consistent with the Author Edwards (1968)
describing the slow reaction of the investor, named as conservatism, causing the under reaction. Tversky &
Kahneman (1974) described an important aspect of the human behavior representativeness bias which,
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according to Barberis & Sheilfer (1998) results in overreaction as the investor with the recent information,
perceives the same performance in the future as well and overvalues the security and then come to the
disappointment resulting to the equilibrium
Behavioral Cause of momentum effect and contrarian effect:
Barberis & sheilfer (2003) divided the investors on the basis of different investing styles and argued that the
investors invest according to the different styles, based upon the past performance, the cause of momentum
effect, ending in the price bubble and the herd behavior of the investors in which they invest in the assets on
the basis of the common style of investment prevailing in the market giving birth to the continuous rise of
fall or the asset prices. Wouter (2006) describe the presence of the positive autocorrelation. Though, they
further argued, the prices would come to the equilibrium in long run but this behavior causes the positive
autocorrelation in the short run and thus the momentum effect in the short run as well as the contrarian
effect in the long run as the in the long run the autocorrelation goes negative.
6. Conclusion:
As the efficient market hypothesis defines efficient market is that where all the investors are well informed
about all the relevant information about the stocks and they take action accordingly. Due to their timely
actions prices of stocks quickly adjust to the new information, and reflect all the available information. So
no investor can beat the market by generating abnormal returns. In the weak form of efficient market
technical analysis is useless, while in semi strong form, both the technical and fundamental analysis is of no
use. And in strong form of efficient market even the insider trader cannot get abnormal return. But it is
found in many stock exchanges of the world that these markets are not following the rules of EMH. The
functioning of these stock markets deviate from the rules of EMH. These deviations are called anomalies.
Anomalies could occur once and disappear, or could occur repeatedly. From the study of anomalies we can
conclude that investor can beat the market, and can generate abnormal returns by fundamental, technical
analysis, by analyzing the past performance of stocks and by insider trading.
There is a lot of researches is done on the existence of various types of abnormalities or deviations of stocks
returns from the normal pattern so called anomalies. Different authors segregated anomalies into different
types. But there are three main types a) calendar anomalies b) fundamental anomalies c) technical
anomalies. Calendar anomalies exist due to deviation in normal behaviors of stocks with respect to time
periods. These include turn-of-year, turn-of week effect, weekend effect, Monday effect and January effect.
There are different possible causes of theses anomalies like new information is not adjusted quickly,
different tax treatments, cashflow adjustments and behavioral constraints of investors. Another type is
fundamental anomalies which includes that prices of stocks are not fully reflecting their intrinsic values.
These include value versus growth anomaly dividend yield anomaly, overreaction anomaly, price to
earnings ratio anomaly and low price to sales anomaly. Value strategies outperform than growth stock
because of overreaction of market and growth stocks are more affected by market down movement.
Dividend yield anomaly is that high dividend yield stocks outperform the market. Stocks having low price
to earnings ratio outperform. Technical anomalies are based upon the past prices and trends of stocks. It
includes momentum effect in which investors can outperform by buying past winners and selling past
losers.Techncial analysis also includes trading strategies like moving averages and trading breaks which
includes resistance and support level. Based upon support and resistance level investors can buy and sell
stocks. Yet a lot of research is needed about the causes of these anomalies because it is yet debatable.
References:
1. Agrawal, A. And k. Tandon (1994). “Anomalies or illusions? Evidence from stock markets in eighteen
countries." Journal of International Money and Finance, 13, pp.83-106.
2. Ariel, R. A. (1987). "A Monthly Effect in Stock Returns." Journal of Financial Economics, 18(1),
pp.161-174.
3. Ariel, R. A. (May 1, 2002). "A Monthly Effect in Stock Returns." Journal of Financial Economics, 18(1),

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pp.161-174.
4. Blandón, J.G, M.M.Blasco, et al. "The Ex-Dividend Day Anomaly in the Spanish Stock Market”9th
Global Conference on Business and Economics. Cambridge University, UK October 16-17, 2009.
5. Bodie,Z.A.Kane.A.J. Marcus. 2007. Essentials of investments, 6th edition, McGraw- Hill / Irwin
6. Brealey, R. A. S. C. Myers.A. J. Marcus. 1999. Fundamentals of corporate finance, 2nd Edition,
McGraw-hill.
7. Boudreaux*, D. O. (1995). "The Monthly Effect In International Stock Markets: Evidence and
implications." Journal of Financial and Strategic Decisions, volume 8 number 1.
8. Brock, W. Josef lakonishok, et al. (1992). "Simple Technical Trading Rules and the Stochastic Properties
of Stock Return." Journal of Finance, 47.
9. Cadsby, C.B.and M.Ratner (1992)."Turn-Of-Month and Pre-Holiday Effects On Stock Returns:Some
International Evidence." Journal Of Banking & Finance, 16(3),pp. 497-509.
10. Chuvakhin, N. "Efficient Market Hypothesis and Behavioral Finance -Is A Compromise in Sight?”
11. Doran, J., Jiang, D., & Peterson, D. (2009). “Gambling Preference and the New Year Effect of Assets
with Lottery Features”. MPRA Paper.
12. F.fama, E. (1970). "Efficient Capital Markets: A Review of Theory and Empirical Work." Journal of
Finance 2, 383-417.
13. Fama, E. F. (1991). "Efficient Capital Markets." The Journal of Finance, 46(5), pp.1575-1617.
14. Fama, E. F. And k. R. French (1988). "Dividend Yields and Expected Stock Returns." Journal of
Financial Economics, 22(1), pp. 3-25.
15. French, E. F. F. A. K. R. (1993). "Common Risk Factors in the Returns On The Stocks And Bonds."
Journal of Financial Economics, pp.33-53.
16. George M. Frankfurtera, Elton G. Mcgoun (2001). "Anomalies in Finance What Are They and What are
They Good For?" International Review of Financial Analysis, 10, p. 22.
17.Goodman, D. A. and J. W. Peavy,(1983). "Industry Relative Price-Earnings Ratios as Indicators of
Investment Returns." Financial Analysts Journal, 39(4), pp. 60-66.
18. Graham, D. Cottle. (1962). “Security Analysis: Principles and Techniques”, New York, McGraw-Hill.
19. Gultekin, M. N.& Gultekin, N. B. (1983).”Stock market seasonality*1:International Evidence”. Journal
of Financial Economics, 12(4), pp. 469-481.
20. Ziemba, W., & Hensel, C. (1994). “Worldwide security market anomalies”. Philosophical Transactions
of the Royal Society of London. Series A: Physical and Engineering Sciences, 347(1684), pp. 495-509.
21. Gibbons, M. R., & Hess, P. (1981). “Day of the week effects and asset returns”. Journal of Business,
pp.579-596.
22. Hon, M. T., & Tonks, I. (2003). “Momentum in the UK stock market”. Journal of Multinational
Financial Management, 13(1), pp.43-70.
23. Jacob boudoukh, M. P. R., Robert F. Whitelaw (1994). "A tale of three scholls: insight on
autocorrelation of white horizon stock returns." Review Of Financial Studies, 7(3),p 32.
24. Jensen, M. (1978).”Some anomalous evidence regarding market efficiency”. Journal of Financial
Economics, Vol. 6, Nos. 2/3, pp. 95-101.
25. Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. Journal of Business,
pp.251-278.
26.Karz,G.“Historical Stock market anomalies”. [Online](2010) available at:

11

Vol 2, No 9/10, 2011

http://www.investorhome.com/anomaly.htm.[accessed 8 January 2012].
27. Kleidon, A. W. (1986). Anomalies in Financial Economics: Blueprint for Change? Journal of
Business,pp. 469-499.
28. Kuhn, T. S. (1996). “The structure of scientific revolutions”: University of Chicago press.
29. Raj, M., & Kumari, D. (2006). “Day-of-the-week and other market anomalies in the Indian stock
market”. International Journal of Emerging Markets, 1(3),pp. 235-246.
30. Lakatos, I. (1970). “History of science and its rational reconstructions.”
31. Lakonishok, J., Shleifer, A, Vishny, R. W., Hart, O., & Perry, G. L. (1992). “The structure and
performance of the money management industry”. Brookings Papers on Economic Activity.
Microeconomics, 1992, 339-391.
32. Lakonishok, J., Vishny, R. W., & Shleifer, A. (1993). “Contrarian investment, extrapolation, and risk”,
National Bureau of Economic Research.
33. Lakonishok, l. K. C. C. A. J. (July 2002). "Value and Growth Investing".
34. Ligon, j. A. (1997). "A Simultaneous Test of Competing Theories Regarding the January Effect”, 2 (1),
pp. 13-23.
35. Lim boon keong*, d. N. C. Y. A. C. H. L. (2010). "Month-of-the-year effects in Asian countries: a
20-year study." African Journal of Business Management, 4(7), pp. 1351-1362.
37. M. Dubois A, P. Louvet (1995). "The Day-Of-The-Week Effect: The International Evidence." Journal
of Banking and Finance.
38. N.patel, p., s. Yao, et al. (2006). "High yield,low payout."
39. Barberis, N., & Shleifer, A. (2003). “Style investing. Journal of Financial Economics”, 68(2),
pp.161-199.
40. OfficeR, R. R. (1975). "Seasonality in Australian Capital Markets: Market Efficiency and Empirical
Issues." Journal of Financial Economics 2(1), pp.29-51.
41. Rogalski, R. J. (1984). "New findings regarding day-of-the-week returns over trading and non-trading
periods: a note." Journal of Finance, pp.1603-1614.
42. Rozeff, M. S. And W. R. Kinney (1976). "Capital Market Seasonality: The Case of Stock
Returns."Journal of Financial Economics 3(4), pp.379-402.
43. Shiller, R. J. (1998). "Human Behavior and the Efficiency of the Financial System." national bureau of
economic research,34.
44. Silver, T. (2011). Making sense of market anomalies.[online] www. Investopedia.com
45. Starks, M. S. L. (1986). "Day-of-the-week and intraday effects in stock returns*."
46. Thaler, w. F. M. D. B. R. (1984). "Does The Stock Market Overreact?" Journal Of Finance 40,pp.
793-805.
47. Wachtel, S. B. (1942). “Certain observations on seasonal movements in stock prices”. The Journal of
Business Of The University Of Chicago, 15(2), 184-193.
48. Watts, R. L. (1978). “Systematic abnormal'returns after quarterly earnings announcements.” Journal
Of Financial Economics, 6(2-3), pp.127-150.
49. Wouters, T. I. M. (2006). Style investing: behavioral explanations of stock market anomalies: University
Library Groningen][Host].
50. Yakob, N. A., Beal, D., & Delpachitra, S. (2005).”Seasonality in the Asia Pacific stock markets”.
Journal of Asset Management, 6(4), pp.298-318.

12

Vol 2, No 9/10, 2011

51.Yalçın, K. C. Market Rationality:“Efficient Market Hypothesis versus Market Anomalies.” European
Journal Of Economic And Political Studies, 23.
52. Ali, S., & Akbar, M. (2009). “Calendar Effects in Pakistani Stock Market”. International Review of
Business Research Papers, 5(1), pp. 389-404.
53. Ziemba, W. T. (1991). “Japanese security market regularities* 1: Monthly, turn-of-the-month and year,
holiday and golden week effects”, Japan and the World Economy, 3(2), pp. 119-146.

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